PyData London News March 2017

Wifi: GST-Man, pw: banana44

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5,002 members.

There are 1,000 members in a Batallion

With 5,000 members we are now a BRIGADE!

Finding Free Food with Python

  • Scrapes Postmates for promotions using BeautifulSoup
  • Pings himself an SMS using Twilio
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JupyterCon

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POTM - Pachyderm. Agnostic library for data versioning

  • Agnostic library for data versioning
  • Works like git, you commit versions of data
  • Hook pipelines to commits that run when data changes.
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PyData London Conference

Reviews are well underway

  • All talks have recieved scores
  • Loads of amazing talks
  • We're getting towards are final decisions
  • Expect those around the end of March
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Gender diversity

O'Reilly's data science salary survey, females made up 21(ish)% of respondents

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%matplotlib inline
import pandas as pd
import seaborn as sns
import matplotlib.pyplot as plt
import numpy as np

plt.figure(figsize=(10, 8))

sns.set_style("whitegrid")

speaker_data = [
    {
        'year': 2014,
        'percent_female': 0.075,
    },
    {
        'year': 2015,
        'percent_female': 0.1961,
    },
    {
        'year': 2016,
        'percent_female': 0.1538,
    },
    {
        'year': 2017,
        'percent_female': 0.1983,
    }

]

df = pd.DataFrame(data=speaker_data)

# annotation
ax = sns.barplot(x="year", y="percent_female", data=df)
ax.set_ylim(0,0.25)
ax.set_title("Percent of female speakers at the PyData Conference")

# plot Strata female attendance rate 
plt.plot(np.linspace(-1,4,100), [0.21]*100, 'b')
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[<matplotlib.lines.Line2D at 0x118eba8d0>]

Sponsorship

Exhibition

  • Diamond: \$15k
  • Platinum: \$10k
  • Gold: \$5k
  • Silver: \$3k
  • Supporting: \$1.5k

Extras

  • Video sponsor: \$10k
  • Drinks n’ Data Sponsor \$5k
  • Badge Sponsor \$1.5k
  • Lanyard Sponsor \$1.5k
  • Job Board Listing \$0.5k

Beginner's Bootcamp

  • We ran a morning Beginner's Bootcamp at PyData London 2016.
  • Very well attended.
  • We'd like to do a two-day event Wednesday and Thursday the week of the conference
  • Probably at Skills matters

Anyone like to give us a hand?

Keynotes anyone?

FullFact The UK’s independent factchecking charity

Title TBC

Will Moy

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DataKind Data science for humanitarian causes.

Data for good: Lessons from the frontline

Emma Prest, General Manager

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Gene Kogan An independent generative artist

Picasso's terminal; data science and AI in the visual arts

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Tickets are NOW OPEN!

Linky linky